Do social robots walk or roll? Refer to the International Conference on Social Robotics (Vol. 6414, 201 0) study of the trend in the design of social robots, Exercise 2.3 (p. 48). Recall that in a random sample of 106 social (or service) robots designed to entertain, educate, and care for human users, 63 were built with legs only, 20 with wheels only, 8 with both legs and wheels, and 15 with neither legs nor wheels. Assume the following: Of the 63 robots with legs only, 50 have two legs, 5 have three legs, and 8 have four legs; of the 8 robots with both legs and wheels, all 8 have two legs. Suppose one of the 106 social robots is randomly selected. Let x equal the number of legs on the robot.
- a. List the possible values of x.
- b. Find the
probability distribution of x. - c. Find E (x) and give a practical interpretation or its value.
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Statistics for Business and Economics (13th Edition)
- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardA researcher is interested in examining whether the location that a person lives is related to the number of hours that they spend on the internet each week. The researcher collected data from a sample of 30 participants who were classified in one of three groups: (1) 10 people who live in an urban setting, (2) 10 people who live in a suburban setting, and (3) 10 people who live in a rural setting. Each participant reported the number of hours they spend on the internet in a typical week (the dependent variable). The researcher found the following descriptive statistics: Urban participants reported an average of 8.9 hours of internet use per week with a standard deviation of 2.77. Suburban participants reported an average of 12.7 hours of internet use per week with a standard deviation of 4.88. Rural participants reported an average of 9.8 hours of internet use per week with a standard deviation of 2.82. Using the data that was collected, the researcher found the following: The…arrow_forwardA researcher is interested in examining whether the location that a person lives is related to the number of hours that they spend on the internet each week. The researcher collected data from a sample of 30 participants who were classified in one of three groups: (1) 10 people who live in an urban setting, (2) 10 people who live in a suburban setting, and (3) 10 people who live in a rural setting. Each participant reported the number of hours they spend on the internet in a typical week (the dependent variable). The researcher found the following descriptive statistics: Urban participants reported an average of 8.9 hours of internet use per week with a standard deviation of 2.77. Suburban participants reported an average of 12.7 hours of internet use per week with a standard deviation of 4.88. Rural participants reported an average of 9.8 hours of internet use per week with a standard deviation of 2.82. Using the data that was collected, the researcher found the following: The…arrow_forward
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